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ICDM
2009
IEEE
171views Data Mining» more  ICDM 2009»
13 years 5 months ago
Hybrid Clustering by Integrating Text and Citation Based Graphs in Journal Database Analysis
We propose a hybrid clustering strategy by integrating heterogeneous information sources as graphs. The hybrid clustering method is extended on the basis of modularity based Louva...
Xinhai Liu, Shi Yu, Yves Moreau, Frizo A. L. Janss...
ICCSA
2004
Springer
14 years 23 days ago
Semantic Completeness in Sub-ontology Extraction Using Distributed Methods
The use of ontologies lies at the very heart of the newly emerging era of Semantic Web. They provide a shared conceptualization of some domain that may be communicated between peop...
Mehul Bhatt, Carlo Wouters, Andrew Flahive, J. Wen...
SC
2009
ACM
14 years 2 months ago
Scalable work stealing
Irregular and dynamic parallel applications pose significant challenges to achieving scalable performance on large-scale multicore clusters. These applications often require ongo...
James Dinan, D. Brian Larkins, P. Sadayappan, Srir...
ICCV
2009
IEEE
13 years 5 months ago
Building recognition using sketch-based representations and spectral graph matching
In this work, we address the problem of building recognition across two camera views with large changes in scales and viewpoints. The main idea is to construct a semantically rich...
Yu-Chia Chung, Tony X. Han, Zhihai He
CVPR
2008
IEEE
14 years 9 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán